Python preprocessing._one_hot() Examples

The following are 6 code examples of preprocessing._one_hot(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module preprocessing , or try the search function .
Example #1
Source File: test_preprocessing.py    From training_results_v0.5 with Apache License 2.0 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
        with tempfile.NamedTemporaryFile() as sgf_file, \
                tempfile.NamedTemporaryFile() as record_file:
            sgf_file.write(TEST_SGF.encode('utf8'))
            sgf_file.seek(0)
            preprocessing.make_dataset_from_sgf(
                sgf_file.name, record_file.name)
            recovered_data = self.extract_data(record_file.name)
        start_pos = go.Position()
        first_move = coords.from_sgf('fd')
        next_pos = start_pos.play_move(first_move)
        second_move = coords.from_sgf('cf')
        expected_data = [
            (
                features.extract_features(start_pos),
                preprocessing._one_hot(coords.to_flat(first_move)),
                -1
            ), (
                features.extract_features(next_pos),
                preprocessing._one_hot(coords.to_flat(second_move)),
                -1
            )]
        self.assertEqualData(expected_data, recovered_data)
Example #2
Source File: test_preprocessing.py    From training_results_v0.5 with Apache License 2.0 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
        with tempfile.NamedTemporaryFile() as sgf_file, \
                tempfile.NamedTemporaryFile() as record_file:
            sgf_file.write(TEST_SGF.encode('utf8'))
            sgf_file.seek(0)
            preprocessing.make_dataset_from_sgf(
                sgf_file.name, record_file.name)
            recovered_data = self.extract_data(record_file.name)
        start_pos = go.Position()
        first_move = coords.from_sgf('fd')
        next_pos = start_pos.play_move(first_move)
        second_move = coords.from_sgf('cf')
        expected_data = [
            (
                features.extract_features(start_pos),
                preprocessing._one_hot(coords.to_flat(first_move)),
                -1
            ), (
                features.extract_features(next_pos),
                preprocessing._one_hot(coords.to_flat(second_move)),
                -1
            )]
        self.assertEqualData(expected_data, recovered_data)
Example #3
Source File: preprocessing_test.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
    with tempfile.NamedTemporaryFile() as sgf_file, \
        tempfile.NamedTemporaryFile() as record_file:
      sgf_file.write(TEST_SGF.encode('utf8'))
      sgf_file.seek(0)
      preprocessing.make_dataset_from_sgf(
          utils_test.BOARD_SIZE, sgf_file.name, record_file.name)
      recovered_data = self.extract_data(record_file.name)
    start_pos = go.Position(utils_test.BOARD_SIZE)
    first_move = coords.from_sgf('fd')
    next_pos = start_pos.play_move(first_move)
    second_move = coords.from_sgf('cf')
    expected_data = [
        (
            features.extract_features(utils_test.BOARD_SIZE, start_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, first_move)), -1
        ),
        (
            features.extract_features(utils_test.BOARD_SIZE, next_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, second_move)), -1
        )
    ]
    self.assertEqualData(expected_data, recovered_data)
Example #4
Source File: test_preprocessing.py    From training with Apache License 2.0 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
        with tempfile.NamedTemporaryFile() as sgf_file, \
                tempfile.NamedTemporaryFile() as record_file:
            sgf_file.write(TEST_SGF.encode('utf8'))
            sgf_file.seek(0)
            preprocessing.make_dataset_from_sgf(
                sgf_file.name, record_file.name)
            recovered_data = self.extract_data(record_file.name)
        start_pos = go.Position()
        first_move = coords.from_sgf('fd')
        next_pos = start_pos.play_move(first_move)
        second_move = coords.from_sgf('cf')
        f = dual_net.get_features()
        expected_data = [
            (
                features.extract_features(start_pos, f),
                preprocessing._one_hot(coords.to_flat(first_move)),
                -1
            ), (
                features.extract_features(next_pos, f),
                preprocessing._one_hot(coords.to_flat(second_move)),
                -1
            )]
        self.assertEqualData(expected_data, recovered_data)
Example #5
Source File: preprocessing_test.py    From g-tensorflow-models with Apache License 2.0 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
    with tempfile.NamedTemporaryFile() as sgf_file, \
        tempfile.NamedTemporaryFile() as record_file:
      sgf_file.write(TEST_SGF.encode('utf8'))
      sgf_file.seek(0)
      preprocessing.make_dataset_from_sgf(
          utils_test.BOARD_SIZE, sgf_file.name, record_file.name)
      recovered_data = self.extract_data(record_file.name)
    start_pos = go.Position(utils_test.BOARD_SIZE)
    first_move = coords.from_sgf('fd')
    next_pos = start_pos.play_move(first_move)
    second_move = coords.from_sgf('cf')
    expected_data = [
        (
            features.extract_features(utils_test.BOARD_SIZE, start_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, first_move)), -1
        ),
        (
            features.extract_features(utils_test.BOARD_SIZE, next_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, second_move)), -1
        )
    ]
    self.assertEqualData(expected_data, recovered_data)
Example #6
Source File: preprocessing_test.py    From multilabel-image-classification-tensorflow with MIT License 6 votes vote down vote up 
def test_make_dataset_from_sgf(self):
    with tempfile.NamedTemporaryFile() as sgf_file, \
        tempfile.NamedTemporaryFile() as record_file:
      sgf_file.write(TEST_SGF.encode('utf8'))
      sgf_file.seek(0)
      preprocessing.make_dataset_from_sgf(
          utils_test.BOARD_SIZE, sgf_file.name, record_file.name)
      recovered_data = self.extract_data(record_file.name)
    start_pos = go.Position(utils_test.BOARD_SIZE)
    first_move = coords.from_sgf('fd')
    next_pos = start_pos.play_move(first_move)
    second_move = coords.from_sgf('cf')
    expected_data = [
        (
            features.extract_features(utils_test.BOARD_SIZE, start_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, first_move)), -1
        ),
        (
            features.extract_features(utils_test.BOARD_SIZE, next_pos),
            preprocessing._one_hot(utils_test.BOARD_SIZE, coords.to_flat(
                utils_test.BOARD_SIZE, second_move)), -1
        )
    ]
    self.assertEqualData(expected_data, recovered_data)